1. Should there be an 'AI' in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm
- Author
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Charles L. Bormann, Hadi Shafiee, Manoj Kumar Kanakasabapathy, Kaitlyn E. James, Lynn M. Boehnlein, Leslie B. Ramirez, Jason E. Swain, Irene Souter, Irene Dimitriadis, Victoria W. Fitz, H Kandula, P Thirumalaraju, and Carol Lynn Curchoe
- Subjects
Adult ,Pregnancy Rate ,Fertilization in Vitro ,Biology ,Decision Support Techniques ,Artificial Intelligence ,Pregnancy ,Image Processing, Computer-Assisted ,Genetics ,Humans ,Embryo Implantation ,Assisted Reproduction Technologies ,Genetics (clinical) ,Selection (genetic algorithm) ,Retrospective Studies ,business.industry ,Obstetrics and Gynecology ,Embryo ,General Medicine ,Blastocyst ,Reproductive Medicine ,embryonic structures ,Female ,Artificial intelligence ,In degree ,business ,Algorithm ,Algorithms ,Developmental Biology - Abstract
PURPOSE: A deep learning artificial intelligence (AI) algorithm has been demonstrated to outperform embryologists in identifying euploid embryos destined to implant with an accuracy of 75.3% (1). Our aim was to evaluate the performance of highly trained embryologists in selecting top quality day 5 euploid blastocysts with and without the aid of a deep learning algorithm. MATERIALS AND METHODS: A non-overlapping series of 200 sets of day 5 euploid embryo images with known implantation outcomes was distributed to 17 highly trained embryologists. One embryo in each set was known to have implanted and one failed implantation. They were asked to select which embryo to transfer from each set. The same 200 sets of embryos, with indication of which embryo in each set had been identified by the algorithm as more likely to implant was then distributed. Chi-squared, t-test, and receiver operating curves were performed to compare the embryologist performeance with and without AI. RESULTS: Fourteen embryologists completed both assessments. Embryologists provided with AI results selected successfully implanted embryos in 73.6% of cases compared to 65.5% for those selected using visual assessments alone (p
- Published
- 2021